BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning

19 November 2017

Papers citing "BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning"

10 / 10 papers shown

Title
Training Neural Networks Using Reproducing Kernel Space Interpolation and Model Reduction Eric A. Werneburg 21 0 0 31 Aug 2023
A Stochastic Bundle Method for Interpolating Networks Alasdair Paren Leonard Berrada Rudra P. K. Poudel M. P. Kumar 24 4 0 29 Jan 2022
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers Robin M. Schmidt Frank Schneider Philipp Hennig ODL 40 162 0 03 Jul 2020
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images Usman Sajid Hasan Sajid Hongcheng Wang Guanghui Wang 23 44 0 27 Feb 2020
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization Dianbo Liu Yuanwei Wu Wenchi Ma Guanghui Wang 28 13 0 04 Oct 2019
Deep Frank-Wolfe For Neural Network Optimization Leonard Berrada Andrew Zisserman M. P. Kumar ODL 18 40 0 19 Nov 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection Wenchi Ma Yuanwei Wu Zongbo Wang Guanghui Wang ObjD 24 25 0 06 Sep 2018
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 128 117 0 08 Jul 2017
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014